The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title:	Design for quality manufacture : formulation of the macro architecture for a DFQM methodology
Author:	Prasad, Shrad
View Online:	njit-etd1992-105 (xi, 69 pages ~ 2.4 MB pdf)
Department:	Department of Mechanical and Industrial Engineering
Degree:	Master of Science
Program:	Industrial Engineering
Document Type:	Thesis
Advisory Committee:	Das, Sanchoy K. (Committee chair) Bengu, Golgen (Committee member) Sodhi, R. S. (Committee member)
Date:	1992-05
Keywords:	Production engineering -- Design -- Methodology Manufacturing processes -- Design -- Methodology Manufacturing processes -- Quality control -- Methodology Quality control -- Methodology Design, Industrial
Availability:	Unrestricted
Abstract:	The focus of the available techniques in concurrent engineering for the development and improvement of the design of a product, has been in the areas of product assemblability and manufacturability. These techniques are concerned with the reduction of the cost associated with the manufacture and handling of the product. The Design For Quality Manufacturability focuses on the quality manufacturability issue of the product design. A macro architecture is developed for the introduction of a new methodology to evaluate designs based on the quality manufacturability of these designs. A set of defects occurring at the assembly stage of the manufacture of the product are identified. These defects are investigated using reverse cause-effect techniques to identify a set of factors responsible for the occurrence of these defects. Relationships are developed to bring about an effective link between the defects and the factors. Macro and micro level loops are developed to further analyze the dependence of the factors and defects. A methodology is developed as a means for quantifying the quality of a design. This technique is applied to an example model to evaluate a set of probability functions. These probability functions enable feature by feature analysis of a design and serve as an indicator for the defects that can be expected due to the design features. This would also enable the user to assess the feature by feature superiority of one design over the other as relates to the quality of the product. This macro architecture can be used to evaluate the probability functions for all the defect classes, thereby aiding in the development of a methodology for DFQM analysis.